Hamed Firooz

Principal Researcher, AI Org, Meta

Joined

November 2021

Names

Hamed Firooz (Preferred)

Emails

****@gmail.com (Confirmed)

****@fb.com (Confirmed)

****@meta.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Principal Researcher

AI Org, Meta (meta.com)

2025 – Present

Principal Researcher

Core AI, LinkedIn (linkedin.com)

2023 – 2025

Researcher

Facebook (facebook.com)

2018 – 2023

Advisors, Relations & Conflicts

No relations added

Expertise

deep learning

large language model

natural language processing

Present

Publications

Large Scale Retrieval for the LinkedIn Feed using Causal Language Models
Sudarshan Srinivasa Ramanujam, Antonio Alonso, Saurabh Kataria, Siddharth Dangi, Akhilesh Gupta, Birjodh Singh Tiwana, Manas Somaiya, Luke Simon, David Byrne, Sojeong Ha, Sen Zhou, Andrei Akterskii, Zhanglong Liu, Samira Sriram, Crescent Xiong, Zhoutao Pei, Angela Shao, Annie Xiao, Caitlin Kolb, Thomas Kistler et al. (2 additional authors not shown)
- AAAI 2026
- Readers: Everyone
CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations
Vignesh Kothapalli, Hamed Firooz, Maziar Sanjabi
- ACL 2025 Main
- Readers: Everyone
Lost-in-distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks
Hamed Firooz, Maziar Sanjabi, Wenlong Jiang, Xiaoling Zhai
- ICLR 2025 Workshop ICBINB
- Readers: Everyone
Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks
Hamed Firooz, Maziar Sanjabi, Wenlong Jiang, Xiaoling Zhai
- Submitted to ICLR 2025
- Readers: Everyone
Enhancing Stability for Large Models Training in Constrained Bandwidth Networks
Yun Dai, Tejas Dharamsi, Pin-Lun Hsu, Tao Song, Hamed Firooz
- ES-FoMo-II 2024 Poster
- Readers: Everyone
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning
Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz
- Findings of ACL 2023
- Readers: Everyone
ResPrompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie
- EMNLP 2023 Main
- Readers: Everyone
Understanding the detrimental class-level effects of data augmentation
Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson
- NeurIPS 2023 poster
- Readers: Everyone
Understanding the class-specific effects of data augmentations
Polina Kirichenko, Randall Balestriero, Mark Ibrahim, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson
- Published: 04 Mar 2023, Last Modified: 03 Apr 2023
- ICLR 2023 Workshop on Trustworthy ML Poster
- Readers: Everyone

View all 14 publications

Co-Authors

View all 64 co-authors